{"id":"W4404767295","doi":"10.1002/aaai.12205","title":"Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024)","year":2024,"lang":"en","type":"article","venue":"AI Magazine","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018121,0.001520808,0.001226321,0.003550953,0.001698601,0.009293455,0.001151734,0.003763275,0.1991708],"category_scores_gemma":[0.005687349,0.0004936904,0.0009031038,0.001879405,0.0008204487,0.003924164,0.001924011,0.004536666,0.1308499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514019,"about_ca_system_score_gemma":0.002245717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510526,"about_ca_topic_score_gemma":0.004315085,"domain_scores_codex":[0.9983071,0.0001706286,0.000113022,0.0001771999,0.001048752,0.0001833535],"domain_scores_gemma":[0.9926939,0.001453497,0.0003902591,0.0002206417,0.003403564,0.001838112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006647464,0.000008954649,0.00002946942,0.00004288029,0.000001417906,0.00001490538,0.000006415805,0.00001210018,0.00008242596,0.0003735925,0.9884233,0.01099801],"study_design_scores_gemma":[0.000003309451,0.00001113549,0.0001701916,0.00007405055,0.00000228315,0.00004546789,0.00001623225,0.00003139246,0.00003812537,0.0005313569,0.9990722,0.000004305732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004465968,0.01978369,0.001557959,0.05940245,0.788625,0.0001656653,0.001181545,0.0006016671,0.1282355],"genre_scores_gemma":[0.001905546,0.01549369,0.0009149846,0.02896675,0.5275446,0.0001399964,0.001337003,0.0004989671,0.4231984],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1991708,"threshold_uncertainty_score":0.6662927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682495363902948,"score_gpt":0.3057973367162292,"score_spread":0.2689723830771997,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}